Make Better Decisions by Leveraging Predictive Analytics and Machine Learning
Plant managers must be able to address manufacturing inefficiencies, increase employee safety, as well as reduce waste and costs to stay competitive. Freya Systems empower manufacturing companies to reduce downtime, improve quality control, and make data-driven decisions with the use of machine learning and custom dashboards.
Extract and Organize Data
The big data generated by industrial IoT is usually characterized by varietal sources, unstructured features, noise, and high redundancy. These features can thwart manufacturers effective use of data.
Optimize for Key Performance Indicators that Matter Most
KPIs allow you to make critical decisions backed by data to impact quality, profitability and the overall future of your business.
Improve Access to Knowledge
The big data industry is still working to provide better visualization and customer interaction tools. Presenting information in an intuitive and user-friendly style is important, as it helps users produce better insights and devise novel solutions.
Do you have all the data?
The Artificial Intelligence manufacturing market is forecasted to grow at a high rate due to the accelerating innovations in industrial IoT and automation. The Global Artificial Intelligence (AI) Manufacturing Market was valued at USD 2.1B in 2020 and is expected to reach USD 11.5B by 2027, with a growing CAGR of 27.2% during the forecast period.
Are you positioned to use your data for a competitive advantage? At Freya Systems, we know that 87% of data science projects fail. Therefore, we work closely with our clients to optimize data extraction, organize data to advance the critical decisions, and ensure that operations and management have customer dashboards to feel confident in their planning and reporting.
Make Freya Systems your Manufacturing Data Analytics Company
The right mix of descriptive, predictive and prescriptive analytics eventually leads to great competitive advantages. These can include cost reduction, supply chain optimization and productivity gains, or the use of new disruptive approaches like manufacturing forecasting, proactive maintenance, and ‘predict and fix’ models.
STATISTICAL AND PREDICTIVE MODELING OPTIMIZE PERFORMANCE
We specialize in predictive models for complex equipment. Using our experience, we can develop algorithms you can use system-wide to optimize production, maintenance protocols, and/or response to emergency events.
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TO IMPROVE EFFICIENCIES
Operational efficiency is critical. We enable operators to leverage AI and machine learning to dramatically improve efficiency, reduce their carbon footprint, and leverage both predictive and prescriptive insights derived from collected enterprise data.
PREDICTIVE ANALYTICS TO PREVENT COMPONENT FAILURE
Using analytics, you can combine data across data sources and rapidly identify problems, discover root causes, predict future performance, and automate actions to continuously improve quality, ease compliance and reduce unnecessary costs.
